Prodromal Assessment With the Structured Interview for Prodromal Syndromes and the Scale of Prodromal Symptoms: Predictive Validity, Interrater Reliability, and Training to Reliability

Psychosis prediction: 12-month follow up of a high-risk ("prodromal") group

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Training and quality assurance with the structured clinical interview for DSM-iV (SCID-I/P)

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The PRIME North America randomized double-blind clinical trial of olanzapine versus placebo in patients at risk of being prodromally symptomatic for psychosis

Miller, T. J., Zipursky, R. B., Perkins, D., Addington, J., Woods, S. W., Hawkins, K. A., Hoffman, R., Preda, A., Epstein, I., Addington, D., et al. (2003) · Schizophrenia Research · doi:10.1016/s0920-9964(02)00440-1 · Cited by 150

The Psychosis High-Risk State: A Comprehensive State-of-the-Art Review

Fusar-Poli, P., Borgwardt, S., Bechdolf, A., Addington, J., Riecher-Rössler, A., Schultze-Lutter, F., Keshavan, M., Wood, S., Ruhrmann, S., Seidman, L. J., et al. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.269 · Cited by 1,483

Predicting Psychosis: Meta-analysis of Transition Outcomes in Individuals at High Clinical Risk

Fusar-Poli, P. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1472 · Cited by 1,361

Prediction of Psychosis in Youth at High Clinical Risk: A Multisite Longitudinal Study in North America

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Automated analysis of free speech predicts psychosis onset in high-risk youths

Bedi, G., Carrillo, F., Cecchi, G. A., Slezak, D. F., Sigman, M., Mota, N. B., Ribeiro, S., Javitt, D. C., Copelli, M., & Corcoran, C. M. (2015) · npj Schizophrenia · doi:10.1038/npjschz.2015.30 · Cited by 673

Prediction of Psychosis in Adolescents and Young Adults at High Risk: Results From the Prospective European Prediction of Psychosis Study

Ruhrmann, S., Schultze-Lutter, F., Salokangas, R. K. R., Heinimaa, M., Linszen, D., Dingemans, P., Birchwood, M., Patterson, P., Juckel, G., Heinz, A., et al. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.206 · Cited by 632

EPA guidance on the early intervention in clinical high risk states of psychoses

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Randomized, Double-Blind Trial of Olanzapine Versus Placebo in Patients Prodromally Symptomatic for Psychosis

McGlashan, T. H., Zipursky, R. B., Perkins, D., Addington, J., Miller, T., Woods, S. W., A. Hawkins, K., E. Hoffman, R., Preda, A., Epstein, I., et al. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.5.790 · Cited by 556

Imaging Patients with Psychosis and a Mouse Model Establishes a Spreading Pattern of Hippocampal Dysfunction and Implicates Glutamate as a Driver

Schobel, S. A., Chaudhury, N. H., Khan, U. A., Paniagua, B., Styner, M. A., Asllani, I., Inbar, B. P., Corcoran, C. M., Lieberman, J. A., Moore, H., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.02.011 · Cited by 549

Heterogeneity of Psychosis Risk Within Individuals at Clinical High Risk: A Meta-analytical Stratification

Fusar-Poli, P., Cappucciati, M., Borgwardt, S., Woods, S. W., Addington, J., Nelson, B., Nieman, D. H., Stahl, D. R., Rutigliano, G., Riecher-Rössler, A., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.2324 · Cited by 440

Psychotic-like experiences in a community sample of adolescents: implications for the continuum model of psychosis and prediction of schizophrenia

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Early detection and intervention evaluation for people at risk of psychosis: multisite randomised controlled trial

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Increased stress-induced dopamine release in psychosis

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Cortisol levels and risk for psychosis: Initial findings from the North American Prodrome Longitudinal Study

Walker, E. F., Trotman, H. D., Pearce, B. D., Addington, J., Cadenhead, K. S., Cornblatt, B. A., Heinssen, R., Mathalon, D. H., Perkins, D. O., Seidman, L. J., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.02.016 · Cited by 269

Psychotic-like experiences in nonpsychotic help-seekers: associations with distress, depression, and disability

Yung, A. R., Buckby, J. A., Cotton, S. M., Cosgrave, E. M., Killackey, E. J., Stanford, C., Godfrey, K., & McGorry, P. D. (2006) · Schizophrenia Bulletin · doi:10.1093/schbul/sbj018 · Cited by 264

Social functioning in individuals at clinical high risk for psychosis

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Prediction of Functional Outcome in Individuals at Clinical High Risk for Psychosis

Carrión, R. E., McLaughlin, D., Goldberg, T. E., Auther, A. M., Olsen, R. H., Olvet, D. M., Correll, C. U., & Cornblatt, B. A. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.1909 · Cited by 250

At risk or not at risk? A meta‐analysis of the prognostic accuracy of psychometric interviews for psychosis prediction

Fusar‐Poli, P., Cappucciati, M., Rutigliano, G., Schultze‐Lutter, F., Bonoldi, I., Borgwardt, S., Riecher‐Rössler, A., Addington, J., Perkins, D., Woods, S. W., et al. (2015) · World Psychiatry · doi:10.1002/wps.20250 · Cited by 234

The Dark Side of the Moon: Meta-analytical Impact of Recruitment Strategies on Risk Enrichment in the Clinical High Risk State for Psychosis

Fusar-Poli, P., Schultze-Lutter, F., Cappucciati, M., Rutigliano, G., Bonoldi, I., Stahl, D., Borgwardt, S., Riecher-Rössler, A., Addington, J., Perkins, D. O., et al. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv162 · Cited by 219

Data leakage inflates prediction performance in connectome-based machine learning models

Rosenblatt, M., Tejavibulya, L., Jiang, R., Noble, S., & Scheinost, D. (2024) · Nature Communications · doi:10.1038/s41467-024-46150-w · Cited by 236

Delusion formation and reasoning biases in those at clinical high risk for psychosis

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Disorganization/Cognitive and Negative Symptom Dimensions in the At-Risk Mental State Predict Subsequent Transition to Psychosis

Demjaha, A., Valmaggia, L., Stahl, D., Byrne, M., & McGuire, P. (2012) · Schizophrenia Bulletin · doi:10.1093/schbul/sbq088 · Cited by 194

Prediction and Prevention of Psychosis in Youth at Clinical High Risk

Addington, J., & Heinssen, R. (2012) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032511-143146 · Cited by 189

Cognitive behavioural therapy for psychosis prevention: a systematic review and meta-analysis

Hutton, P., & Taylor, P. J. (2014) · Psychological Medicine · doi:10.1017/s0033291713000354 · Cited by 184

Prodromal interventions for schizophrenia vulnerability: the risks of being “at risk”

Corcoran, C., Malaspina, D., & Hercher, L. (2005) · Schizophrenia Research · doi:10.1016/j.schres.2004.05.021 · Cited by 183

Personalized Prediction of Psychosis: External Validation of the NAPLS-2 Psychosis Risk Calculator With the EDIPPP Project

Carrión, R. E., Cornblatt, B. A., Burton, C. Z., Tso, I. F., Auther, A. M., Adelsheim, S., Calkins, R., Carter, C. S., Niendam, T., Sale, T. G., et al. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.15121565 · Cited by 170

Randomized-controlled trials in people at ultra high risk of psychosis: A review of treatment effectiveness

Preti, A., & Cella, M. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.07.026 · Cited by 167

Potential stigma associated with inclusion of the psychosis risk syndrome in the DSM-V: An empirical question

Yang, L. H., Wonpat-Borja, A. J., Opler, M. G., & Corcoran, C. M. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.03.012 · Cited by 157

Positive family environment predicts improvement in symptoms and social functioning among adolescents at imminent risk for onset of psychosis

O'Brien, M. P., Gordon, J. L., Bearden, C. E., Lopez, S. R., Kopelowicz, A., & Cannon, T. D. (2006) · Schizophrenia Research · doi:10.1016/j.schres.2005.10.005 · Cited by 155

Prognosis of Brief Psychotic Episodes: A Meta-analysis

Fusar-Poli, P., Cappucciati, M., Bonoldi, I., Hui, L. M. C., Rutigliano, G., Stahl, D. R., Borgwardt, S., Politi, P., Mishara, A. L., Lawrie, S. M., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.2313 · Cited by 151

Probably at-risk, but certainly ill — Advocating the introduction of a psychosis spectrum disorder in DSM-V

Ruhrmann, S., Schultze-Lutter, F., & Klosterkötter, J. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.03.015 · Cited by 147

A DTI study of white matter microstructure in individuals at high genetic risk for schizophrenia

HOPTMAN, M., NIERENBERG, J., BERTISCH, H., CATALANO, D., ARDEKANI, B., BRANCH, C., & DELISI, L. (2008) · Schizophrenia Research · doi:10.1016/j.schres.2008.07.023 · Cited by 143

Stress abnormalities in individuals at risk for psychosis: A review of studies in subjects with familial risk or with “at risk” mental state

Aiello, G., Horowitz, M., Hepgul, N., Pariante, C. M., & Mondelli, V. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2012.05.003 · Cited by 141

Using common genetic variation to examine phenotypic expression and risk prediction in 22q11.2 deletion syndrome

International 22q11.2 Brain and Behavior Consortium, Davies, R. W., Fiksinski, A. M., Breetvelt, E. J., Williams, N. M., Hooper, S. R., Monfeuga, T., Bassett, A. S., Owen, M. J., Gur, R. E., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1103-1 · Cited by 139

Association of Structural Magnetic Resonance Imaging Measures With Psychosis Onset in Individuals at Clinical High Risk for Developing Psychosis: An ENIGMA Working Group Mega-analysis

ENIGMA Clinical High Risk for Psychosis Working Group, Jalbrzikowski, M., Hayes, R. A., Wood, S. J., Nordholm, D., Zhou, J. H., Fusar-Poli, P., Uhlhaas, P. J., Takahashi, T., Sugranyes, G., et al. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2021.0638 · Cited by 137

Structural Brain Abnormalities in Youth With Psychosis Spectrum Symptoms

Satterthwaite, T. D., Wolf, D. H., Calkins, M. E., Vandekar, S. N., Erus, G., Ruparel, K., Roalf, D. R., Linn, K. A., Elliott, M. A., Moore, T. M., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.3463 · Cited by 132

Longitudinal changes in cortisol secretion and conversion to psychosis in at-risk youth.

Walker, E. F., Brennan, P. A., Esterberg, M., Brasfield, J., Pearce, B., & Compton, M. T. (2010) · Journal of Abnormal Psychology · doi:10.1037/a0018399 · Cited by 127

Actigraphic-measured sleep disturbance predicts increased positive symptoms in adolescents at ultra high-risk for psychosis: A longitudinal study

Lunsford-Avery, J. R., LeBourgeois, M. K., Gupta, T., & Mittal, V. A. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.03.013 · Cited by 119

Early intervention service systems for youth mental health: integrating pluripotentiality, clinical staging, and transdiagnostic lessons from early psychosis

Shah, J. L., Jones, N., van Os, J., McGorry, P. D., & Gülöksüz, S. (2022) · The Lancet Psychiatry · doi:10.1016/s2215-0366(21)00467-3 · Cited by 109

Declining transition rates to psychotic disorder in “ultra-high risk” clients: Investigation of a dilution effect

Hartmann, J. A., Yuen, H. P., McGorry, P. D., Yung, A. R., Lin, A., Wood, S. J., Lavoie, S., & Nelson, B. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2015.11.026 · Cited by 106

Peripubertal Diazepam Administration Prevents the Emergence of Dopamine System Hyperresponsivity in the MAM Developmental Disruption Model of Schizophrenia

Du, Y., & Grace, A. A. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.101 · Cited by 105

Clinical Validity of DSM-5 Attenuated Psychosis Syndrome: Advances in Diagnosis, Prognosis, and Treatment

Salazar de Pablo, G., Catalan, A., & Fusar-Poli, P. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.3561 · Cited by 103

Stress-induced dopamine response in subjects at clinical high risk for schizophrenia with and without concurrent cannabis use

Mizrahi, R., Kenk, M., Suridjan, I., Boileau, I., George, T. P., McKenzie, K., Wilson, A. A., Houle, S., & Rusjan, P. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.347 · Cited by 101

From lumping to splitting and back again: Atypical social and language development in individuals with clinical-high-risk for psychosis, first episode schizophrenia, and autism spectrum disorders

Solomon, M., Olsen, E., Niendam, T., Ragland, J. D., Yoon, J., Minzenberg, M., & Carter, C. S. (2011) · Schizophrenia Research · doi:10.1016/j.schres.2011.03.005 · Cited by 99

A neurogenetic model for the study of schizophrenia spectrum disorders: the International 22q11.2 Deletion Syndrome Brain Behavior Consortium

Gur, R. E., Bassett, A. S., McDonald-McGinn, D. M., Bearden, C. E., Chow, E., Emanuel, B. S., Owen, M., Swillen, A., Van den Bree, M., Vermeesch, J., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.161 · Cited by 93

Stigma related to labels and symptoms in individuals at clinical high-risk for psychosis

Yang, L. H., Link, B. G., Ben-David, S., Gill, K. E., Girgis, R. R., Brucato, G., Wonpat-Borja, A. J., & Corcoran, C. M. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.08.004 · Cited by 95

Stigma as a stressor and transition to schizophrenia after one year among young people at risk of psychosis

Rüsch, N., Heekeren, K., Theodoridou, A., Müller, M., Corrigan, P. W., Mayer, B., Metzler, S., Dvorsky, D., Walitza, S., & Rössler, W. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.05.027 · Cited by 87

Adolescents at clinical-high risk for psychosis: Circadian rhythm disturbances predict worsened prognosis at 1-year follow-up

Lunsford-Avery, J. R., Gonçalves, B. D. S. B., Brietzke, E., Bressan, R. A., Gadelha, A., Auerbach, R. P., & Mittal, V. A. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.01.051 · Cited by 89

Ventral striatal activation during reward processing in subjects with ultra-high risk for schizophrenia

Juckel, G., Friedel, E., Koslowski, M., Witthaus, H., Özgürdal, S., Gudlowski, Y., Knutson, B., Wrase, J., Brüne, M., Heinz, A., et al. (2012) · Neuropsychobiology · doi:10.1159/000337130 · Cited by 87

HPA axis function and symptoms in adolescents at clinical high risk for schizophrenia

Corcoran, C. M., Smith, C., McLaughlin, D., Auther, A., Malaspina, D., & Cornblatt, B. (2012) · Schizophrenia Research · doi:10.1016/j.schres.2011.11.035 · Cited by 85

Prediction of psychosis in prodrome: development and validation of a simple, personalized risk calculator

Zhang, T., Xu, L., Tang, Y., Li, H., Tang, X., Cui, H., Wei, Y., Wang, Y., Hu, Q., Liu, X., et al. (2019) · Psychological Medicine · doi:10.1017/s0033291718002738 · Cited by 82

‘At risk mental state’ clinics for psychosis – an idea whose time has come – and gone!

Ajnakina, O., David, A. S., & Murray, R. M. (2019) · Psychological Medicine · doi:10.1017/s0033291718003859 · Cited by 82

Specificity of Incident Diagnostic Outcomes in Patients at Clinical High Risk for Psychosis

Webb, J. R., Addington, J., Perkins, D. O., Bearden, C. E., Cadenhead, K. S., Cannon, T. D., Cornblatt, B. A., Heinssen, R. K., Seidman, L. J., Tarbox, S. I., et al. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv091 · Cited by 77

Family problem solving interactions and 6-month symptomatic and functional outcomes in youth at ultra-high risk for psychosis and with recent onset psychotic symptoms: A longitudinal study

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Sleep disturbances in individuals at clinical high risk for psychosis

Poe, S.-L., Brucato, G., Bruno, N., Arndt, L. Y., Ben-David, S., Gill, K. E., Colibazzi, T., Kantrowitz, J. T., Corcoran, C. M., & Girgis, R. R. (2017) · Psychiatry Research · doi:10.1016/j.psychres.2016.12.029 · Cited by 75

An evaluation of the specificity of executive function impairment in developmental psychopathology

White, L. K., Moore, T. M., Calkins, M. E., Wolf, D. H., Satterthwaite, T. D., Leibenluft, E., Pine, D. S., Gur, R. C., & Gur, R. E. (2017) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2017.08.016 · Cited by 71

Pituitary gland volume in patients with schizophrenia, subjects at ultra high-risk of developing psychosis and healthy controls: A systematic review and meta-analysis

Nordholm, D., Krogh, J., Mondelli, V., Dazzan, P., Pariante, C., & Nordentoft, M. (2013) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2013.06.030 · Cited by 67

Disordered corticolimbic interactions during affective processing in children and adolescents at risk for schizophrenia revealed by functional magnetic resonance imaging and dynamic causal modeling

Diwadkar, V. A. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1349 · Cited by 66

Symptom dimensions are associated with reward processing in unmedicated persons at risk for psychosis

Wotruba, D., Heekeren, K., Michels, L., Buechler, R., Simon, J. J., Theodoridou, A., Kollias, S., Rössler, W., & Kaiser, S. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00382 · Cited by 61

Attitudes towards help-seeking and stigma among young people at risk for psychosis

Rüsch, N., Heekeren, K., Theodoridou, A., Dvorsky, D., Müller, M., Paust, T., Corrigan, P. W., Walitza, S., & Rössler, W. (2013) · Psychiatry Research · doi:10.1016/j.psychres.2013.08.028 · Cited by 53

Obsessive compulsive symptoms in individuals at clinical risk for psychosis: Association with depressive symptoms and suicidal ideation

DeVylder, J. E., Oh, A. J., Ben-David, S., Azimov, N., Harkavy-Friedman, J. M., & Corcoran, C. M. (2012) · Schizophrenia Research · doi:10.1016/j.schres.2012.07.009 · Cited by 55

Meta-analytical prognostic accuracy of the Comprehensive Assessment of at Risk Mental States (CAARMS): The need for refined prediction

Oliver, D., Kotlicka-Antczak, M., Minichino, A., Spada, G., McGuire, P., & Fusar-Poli, P. (2018) · European Psychiatry · doi:10.1016/j.eurpsy.2017.10.001 · Cited by 51

Development of a computerized adaptive screening tool for overall psychopathology (“p”)

Moore, T. M., Calkins, M. E., Satterthwaite, T. D., Roalf, D. R., Rosen, A. F. G., Gur, R. C., & Gur, R. E. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.05.028 · Cited by 44

Cognition in at-risk mental states for psychosis

de Paula, A. L. D., Hallak, J. E. C., Maia-de-Oliveira, J. P., Bressan, R. A., & Machado-de-Sousa, J. P. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.09.006 · Cited by 43

Screening for psychosis risk among adolescents in Child and Adolescent Mental Health Services: a description of the first step with the 16-item version of the Prodromal Questionnaire (PQ-16)

de Jong, Y., Mulder, C. L., Boon, A. E., Deen, M., van ’t Hof, M., & van der Gaag, M. (2018) · Early Intervention in Psychiatry · doi:10.1111/eip.12362 · Cited by 42

Self-Concept Clarity and Psychopathology

Cicero, D. C. (2017) · Self-Concept Clarity · doi:10.1007/978-3-319-71547-6_12 · Cited by 42

Should I stay or should I go? FMRI study of response inhibition in early illness schizophrenia and risk for psychosis

Fryer, S. L., Roach, B. J., Ford, J. M., Donaldson, K. R., Calhoun, V. D., Pearlson, G. D., Kiehl, K. A., Srihari, V. H., McGlashan, T. H., Woods, S. W., et al. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx198 · Cited by 40

Evidence of reward system dysfunction in youth at clinical high-risk for psychosis from two event-related fMRI paradigms

Millman, Z. B., Gallagher, K., Demro, C., Schiffman, J., Reeves, G. M., Gold, J. M., Rakhshan Rouhakhtar, P. J., Fitzgerald, J., Andorko, N. D., Redman, S., et al. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2019.03.017 · Cited by 39

Aberrant salience, self-concept CLARITY, and interview-rated psychotic-like experiences

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Effects of NRG1 and DAOA genetic variation on transition to psychosis in individuals at ultra-high risk for psychosis

Bousman, C. A., Yung, A. R., Pantelis, C., Ellis, J. A., Chavez, R. A., Nelson, B., Lin, A., Wood, S. J., Amminger, G. P., Velakoulis, D., et al. (2013) · Translational Psychiatry · doi:10.1038/tp.2013.23 · Cited by 38

Biofeedback to treat anxiety in young people at clinical high risk for developing psychosis

McAusland, L., & Addington, J. (2018) · Early Intervention in Psychiatry · doi:10.1111/eip.12368 · Cited by 37

Striatal dopamine D2/3 receptor binding following dopamine depletion in subjects at Ultra High Risk for psychosis

Bloemen, O. J. N., de Koning, M. B., Gleich, T., Meijer, J., de Haan, L., Linszen, D. H., Booij, J., & van Amelsvoort, T. A. M. J. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.04.015 · Cited by 37

Spontaneous labelling and stigma associated with clinical characteristics of peers ‘at‐risk’ for psychosis

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The critical need for help-seeking controls in clinical high-risk research

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Elevated emotion reactivity and emotion regulation in individuals at clinical high risk for developing psychosis and those diagnosed with a psychotic disorder

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Aberrant hierarchical prediction errors are associated with transition to psychosis: A computational single-trial analysis of the mismatch negativity

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